6 months ago
London, United KingdomSenior
Responsibilities
- Partner with public sector clients to scope problems, collect feedback, and implement solutions.
- Architect production-grade applications integrating AI models with full-stack frameworks, including interactive UIs, backend APIs, and supporting systems.
- Deploy and manage cloud infrastructure while maintaining system integrity, security, scalability, and reliability.
- Contribute reusable core platform features for diverse international client use cases.
- Collaborate with design, product, and data teams to deliver applications aligned with broader technical architecture.
- Work directly in customer environments to deliver, maintain, and troubleshoot solutions.
Requirements
- Bachelor’s degree in Computer Science or a related quantitative field.
- At least five years of post-graduation full-stack engineering experience.
- Demonstrated proficiency with React, TypeScript, Next.js, Python, Node.js, PostgreSQL or MongoDB, Docker, Kubernetes, and Azure, AWS, or GCP.
- Experience architecting scalable, production-grade applications and maintaining cloud infrastructure health.
- Experience deploying, maintaining, and troubleshooting complex end-to-end solutions within customer infrastructure.
- Technical maturity, self-direction, and the ability to deliver reliable software amid ambiguous requirements.
- Preferred experience in a forward deployed or dedicated customer engineer role.
- Preferred experience working cross-functionally with operations.
- Preferred experience building solutions with LLMs and understanding the generative AI landscape.
Benefits
- Spends up to two weeks per month in client offices for feedback and delivery.
- Inclusive equal opportunity workplace with reasonable accommodations for applicants with disabilities.
Tech Stack
Categories
Forward Deployed
About Scale AI
Scale AI builds data annotation services and AI development tools for enterprises and government agencies, sold as a platform and managed services. Its products include the Scale Generative AI Platform for building and evaluating agents and the Data Engine for collecting, curating, and labeling training data, including RLHF and model evaluation. Founded in 2016 and headquartered in San Francisco, the company is privately held and works across domains from computer vision to LLM applications.